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SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
15 years 7 months ago
Exact Discovery of Time Series Motifs.
Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computat...
Abdullah Mueen, Eamonn J. Keogh, M. Brandon Westov...
EDBT
2009
ACM
138views Database» more  EDBT 2009»
15 years 4 months ago
FOGGER: an algorithm for graph generator discovery
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou
RECOMB
2007
Springer
15 years 3 months ago
Nucleosome Occupancy Information Improves de novo Motif Discovery
A complete understanding of transcriptional regulatory processes in the cell requires identification of transcription factor binding sites on a genomewide scale. Unfortunately, th...
Leelavati Narlikar, Raluca Gordân, Alexander...
ECWEB
2005
Springer
127views ECommerce» more  ECWEB 2005»
15 years 3 months ago
Knowledge Discovery in Web-Directories: Finding Term-Relations to Build a Business Ontology
The Web continues to grow at a tremendous rate. Search engines find it increasingly difficult to provide useful results. To manage this explosively large number of Web documents,...
Sandip Debnath, Tracy Mullen, Arun Upneja, C. Lee ...
ESWS
2005
Springer
15 years 3 months ago
Web Explanations for Semantic Heterogeneity Discovery
Managing semantic heterogeneity is a complex task. One solution involves matching like terms to each other. We view Match as an operator that takes two graph-like structures (e.g....
Pavel Shvaiko, Fausto Giunchiglia, Paulo Pinheiro ...